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An extended DEA model for hospital performance evaluation and improvement

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Abstract

This paper presents an extended data envelopment analysis (DEA) model which includes a new benchmark filtering measure to identify the decision making units (DMUs) which consistently have the best performance. Additionally, window analysis is utilized over multiple time periods in order to consider the time dependent nature of hospital data. The proposed approach, termed Panel-based Benchmarking, is applied to the data from previous research to demonstrate its effectiveness and benefits. Next, the proposed approach is applied to a real-world data set spanning a five year period supplied by the Iowa Hospital Association. Finally, the Malmquist method is used to compliment the proposed approach to verify temporal productivity performance of DMUs. The results indicate that the proposed model can generate benchmarks which consistently perform well over multiple time periods.

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Notes

  1. The super efficiency DEA model extends basic DEA model by excluding the DMU under evaluation from the reference set. For the detailed discussion, please refer to Andersen and Petersen (1993).

  2. The Iowa Hospital Association (IHA) data used in this research available upon request from the authors.

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Authors and Affiliations

  1. Arizona State University, Phoenix, AZ, USA

    Shao-Jen Weng, Teresa Wu, Jennifer Blackhurst & Gerald Mackulak

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  1. Shao-Jen Weng
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  2. Teresa Wu
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  3. Jennifer Blackhurst
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  4. Gerald Mackulak
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Correspondence to Teresa Wu.

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Weng, SJ., Wu, T., Blackhurst, J. et al. An extended DEA model for hospital performance evaluation and improvement. Health Serv Outcomes Res Method 9, 39–53 (2009). https://doi.org/10.1007/s10742-008-0042-y

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